{"id":1713,"date":"2018-08-08T11:30:10","date_gmt":"2018-08-08T09:30:10","guid":{"rendered":"https:\/\/blogs.mathworks.com\/student-lounge\/?p=1713"},"modified":"2018-09-06T15:46:10","modified_gmt":"2018-09-06T13:46:10","slug":"no-robot-no-problem-program-robots-using-simulations","status":"publish","type":"post","link":"https:\/\/blogs.mathworks.com\/student-lounge\/2018\/08\/08\/no-robot-no-problem-program-robots-using-simulations\/","title":{"rendered":"No Robot? No Problem! – Program Robots Using Simulations"},"content":{"rendered":"

Today, \u00a0Jose Avendano Arbelaez<\/a> shares another guest post with us. Make sure you let us know your thoughts in the comments section.<\/p>\n

\u2013 \u2013<\/p>\n

Robotics programmers have been putting more emphasis on simulation for both hardware and software design. Here are a few reasons why:<\/p>\n

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  1. You may not have available hardware, or selecting the right hardware depends on some initial analysis.<\/li>\n
  2. You want to make sure your robot will behave as expected before testing on hardware. This will reduce the chances of putting unsafe code on your robots.<\/li>\n<\/ol>\n

    Because of these benefits of simulation, we have created tools to develop and test robotics algorithms in simulation. This post will help you get familiar with some of our robot simulation libraries.<\/p>\n

    Virtual Worlds \u2013 Dynamic 3D Visualizations<\/h1>\n

    For many beginner robotics programmers, it is important to get immediate and accurate feedback on a robot\u2019s behavior. The\u00a0Robotics Playground<\/a>\u00a0provides a set of configurable virtual worlds. This is particularly useful if you are trying to move to which is a leading environment for controls design and robotics integration. You can test\u00a0Stateflow<\/a> charts for navigation and explore logic for moving objects. You can also close the loop and implement some robot perception by using multiple of the following available sensors:<\/p>\n